Invention Grant
US09299042B2 Predicting edges in temporal network graphs described by near-bipartite data sets
有权
预测由近二分数据集描述的时间网络图中的边
- Patent Title: Predicting edges in temporal network graphs described by near-bipartite data sets
- Patent Title (中): 预测由近二分数据集描述的时间网络图中的边
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Application No.: US13963439Application Date: 2013-08-09
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Publication No.: US09299042B2Publication Date: 2016-03-29
- Inventor: Christopher R. Eck
- Applicant: Raytheon Company
- Applicant Address: US MA Waltham
- Assignee: Raytheon Company
- Current Assignee: Raytheon Company
- Current Assignee Address: US MA Waltham
- Agency: Schwegman Lundberg & Woessner, P.A.
- Main IPC: G06N5/04
- IPC: G06N5/04 ; G06F17/18 ; G06Q10/06

Abstract:
Embodiments of a system and method for predicting a future state of a set of data are generally described herein. In some embodiments, a set of data in a first domain is obtained. The set of data in the first domain may be represented as a network graph. The set of data in the first domain is mapped into a set of data in a second domain. A plurality of prediction models are applied to the set of data in the second domain to produce a plurality of predicted sets of data. The predicted sets of data are combined to generate a combined predicted set of data having a best match. The combined predicted sets of data having the best match are reverse mapped to the first domain.
Public/Granted literature
- US20150046384A1 PREDICTING EDGES IN TEMPORAL NETWORK GRAPHS DESCRIBED BY NEAR-BIPARTITE DATA SETS Public/Granted day:2015-02-12
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